NVIDIA PhD Research Intern, AI-Aided Engineering – 2027 | USA

Overview

This doctoral-level internship is offered by NVIDIA Research within its AI-Aided Engineering team. The position is located in Santa Clara, California, United States, and is structured as a full-time temporary role. Selected interns collaborate with experienced researchers and mentors to develop innovative artificial intelligence methods addressing complex scientific and engineering challenges, with opportunities to contribute to projects that connect research innovations to practical applications and academic publishing.

Who can apply

Applicants must currently be pursuing a doctoral degree in engineering, physics, applied mathematics, computer science, or a closely related field. Candidates need a strong research track record and the ability to conceive, implement, and evaluate original ideas.

Requirements

The role requires excellent Python programming skills and practical experience using PyTorch or a comparable deep learning framework. Candidates must also possess strong communication abilities and work effectively both independently and within collaborative teams. Additionally, applicants must demonstrate substantial expertise in at least one specific technical domain. This includes either physical simulation and engineering, encompassing computational fluid dynamics with numerical solvers or computer-aided design and NURBS-based geometric modelling, or large-scale deep learning model training, involving vision transformers, large language models, or other large-scale neural networks.

What you get

The hourly pay rate ranges from US$38 to US$94, with the final compensation determined by factors such as position, location, year of study, degree, and experience. Interns are also eligible to receive internship benefits.

Key dates

Applications are scheduled to be accepted at least until 16 October 2026.